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Engineered Bacillus subtilis alleviates intestinal oxidative injury through Nrf2-Keap1 pathway in enterotoxigenic Escherichia coli(ETEC) K88-infected piglet

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第6期24卷 496-509页

作者： Chaoyue WEN Hong ZHANG Qiuping GUO Yehui DUAN Sisi CHEN Mengmeng HAN Fengna LI Mingliang JIN Yizhen WANG Institute of Feed Science Key Laboratory of Animal Feed and Nutrition of Zhejiang ProvinceKey Laboratory of Molecular Animal NutritionMinistry of EducationKey Laboratory of Animal Nutrition and Feed Science in Eastern ChinaMinistry of AgricultureCollege of Animal SciencesZhejiang UniversityHangzhou 310058China Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process CAS Key Laboratory of Agro-Ecological Processes in Subtropical RegionNational Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry ProductionInstitute of Subtropical AgricultureChinese Academy of SciencesChangsha 410125China College of Advanced Agricultural Science University of Chinese Academy of SciencesBejing 100039China

Engineered probiotics can serve as therapeutics based on their ability of produce recombinant immune-stimulating *** this study,we built the recombinant Bacillus subtilis WB800 expressing antimicrobial peptide KR32(WB800-KR32)using genetic engineering methods and investigated its protective effects of nuclear factor-E2-related factor 2(Nrf2)-Kelch-like ECH-associated protein 1(Keap1)pathway activation in intestinal oxidative disturbance induced by enterotoxigenic Escherichia coli(ETEC)K88 in weaned ***-eight weaned piglets were randomly distributed into four treatment groups with seven replicates fed with a basal *** feed of the control group(CON)was infused with normal sterilized saline;meanwhile,the ETEC,ETEC+WB800,and ETEC+WB800-KR32 groups were orally administered normal sterilized saline,5×10^(10)CFU(CFU:colony forming units)WB800,and 5×10^(10)CFU WB800-KR32,respectively,on Days 1-14 and all infused with ETEC K881×10^(10)CFU on Days *** results showed that pretreatment with WB800-KR32 attenuated ETEC-induced intestinal disturbance,improved the mucosal activity of antioxidant enzyme(catalase(CAT),superoxide dismutase(SOD),and glutathione peroxidase(GPx))and decreased the content of malondialdehyde(MDA).More importantly,WB800-KR32 downregulated genes involved in antioxidant defense(GPx and SOD1).Interestingly,WB800-KR32 upregulated the protein expression of Nrf2 and downregulated the protein expression of Keap1 in the ***800-KR32 markedly changed the richness estimators(Ace and Chao)of gut microbiota and increased the abundance of Eubacterium_rectale_ATCC_33656 in the *** results suggested that WB800-KR32 may alleviate ETEC-induced intestinal oxidative injury through the Nrf2-Keap1 pathway,providing a new perspective for WB800-KR32 as potential therapeutics to regulate intestinal oxidative disturbance in ETEC K88 infection.

关键词： Engineered probiotics Intestine Oxidative injury Weaned piglets Nuclear factor-E2-related factor 2(Nrf2)-Kelch-like ECH-associated protein 1(Keap1)pathway

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Sufficient and Necessary Condition of Admissibility for Fractional-order Singular System

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Acta Automatica Sinica 2013年第12期39卷 2160-2164页

作者： Yao YU Zhuang JIAO Chang-Yin SUN School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing 100083 China Beijing Institute of Electronic System Engineering Beijing 100854 China

This paper focuses on the admissibility condition for fractional-order singular system with order α ∈ (0, 1). The definitions of regularity, impulse-free and admissibility are given first, then a sufficient and necessary condition of admissibility for fractional-order singular system is established. A numerical example is included to illustrate the proposed condition.

关键词： Fractional-order singular systems regularity impulse-free admissibility

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When autonomous systems meet accuracy and transferability through AI: A survey

arXiv

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arXiv 2020年

作者： Zhang, Chongzhen Wang, Jianrui Yen, Gary G. Zhao, Chaoqiang Sun, Qiyu Tang, Yang Qian, Feng Kurths, Jürgen Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74075 United States Potsdam Institute for Climate Impact Research Potsdam14473 Germany Institute of Physics Humboldt University of Berlin Berlin12489 Germany

With widespread applications of artificial intelligence (AI), the capabilities of the perception, understanding, decision-making and control for autonomous systems have improved significantly in the past years. When autonomous systems consider the performance of accuracy and transferability, several AI methods, like adversarial learning, reinforcement learning (RL) and meta-learning, show their powerful performance. Here, we review the learning-based approaches in autonomous systems from the perspectives of accuracy and transferability. Accuracy means that a well-trained model shows good results during the testing phase, in which the testing set shares a same task or a data distribution with the training set. Transferability means that when a well-trained model is transferred to other testing domains, the accuracy is still good. Firstly, we introduce some basic concepts of transfer learning and then present some preliminaries of adversarial learning, RL and meta-learning. Secondly, we focus on reviewing the accuracy or transferability or both of them to show the advantages of adversarial learning, like generative adversarial networks (GANs), in typical computer vision tasks in autonomous systems, including image style transfer, image super-resolution, image deblurring/dehazing/rain removal, semantic segmentation, depth estimation, pedestrian detection and person re-identification (re-ID). Then, we further review the performance of RL and meta-learning from the aspects of accuracy or transferability or both of them in autonomous systems, involving pedestrian tracking, robot navigation and robotic manipulation. Finally, we discuss several challenges and future topics for using adversarial learning, RL and meta-learning in autonomous systems. Copyright © 2020, The Authors. All rights reserved.

关键词： Reinforcement learning

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On control design and tuning for first order plus time delay plants with significant uncertainties

On control design and tuning for first order plus time delay...

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American control Conference

作者： Lijun Wang Qing Li Chaonan Tong Yixin Yin Zhiqiang Gao Qinling Zheng Weicun Zhang School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Beijing 100083 China Center for Advanced Control Technologies Cleveland State University Cleveland OH 44115 USA

ISBN: (纸本)9781479917730

A novel active disturbance rejection control (ADRC) solution and a particular tuning method are presented for a class of time delay system (TDS) with uncertainty. First, the complicated process dynamics is modeled as a simple first order plus large time delay (FOPTD) plant, with the difference between the actual dynamics and its model treated as disturbances to be rejected. Then the reduced order linear extended state observer (RLESO) with input delay is proposed to estimate the time delay state and disturbance. It is shown how the time delay could be eliminated from the characteristic equation of the closed-loop system by manipulations of controller parameters. Secondly, the one parameter tuning (OPT) technique is developed where all controller parameters are made function of a single coefficient. In comparison with optimal proportional-integral-derivative (PID) controller and twice optimum controller (TOC), the simulation results show that the proposed method not only has better accuracy and faster response, but also ensures better robustness and adaptability against uncertain model parameters and external disturbances, especially for the plant with very large time delays.

关键词： tuning design control model parameters process dynamics Characteristic equation one-parameter external disturbance FIRST ORDER controllers Closed loop systems

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Network design for distributed consensus estimation over heterogeneous sensor networks

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IFAC Proceedings Volumes 2014年第3期47卷 5550-5555页

作者： Wen Yang Ling Shi Ye Yuan Xiaofan Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong P. R. China Department of Engineering University of Cambridge UK Department of Automation Shanghai Jiaotong University Shanghai 200240

This paper considers distributed estimation over heterogeneous sensor networks. We propose a distributed estimation strategy based on PageRank algorithm, where the link weight depends on the edge estimation covariances. We prove that the proposed estimator obtains better estimates than one typical estimator under identical initial conditions. Motivated by the advantage of the sensors with high accuracy locating at important positions, we propose an optimal sensor deployment strategy to arrange locations for sensors in a given physical network. Numerical examples are provided to demonstrate the effectiveness of the proposed estimator, showing a better performance under the optimal sensor deployment.

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Monitoring Wastewater Treatment processes Using a Maximum Likelihood-Based Narx Neural Network

SSRN

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SSRN 2023年

作者： Liu, Wentao Xiong, Weili Sun, Wenxin Chen, Hongtian Key Laboratory of Advanced Process Control for Light Industry Ministry of Education School of Internet of Things Engineering Jiangnan University Wuxi214122 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China

Wastewater treatment processes (WWTPs) contribute significantly to water recycling and energy conservation, because their failures can lead to the potential risk of adverse environmental impacts. WWTPs are acknowledged to be largely nonlinear systems with a series of biological reactors. Additionally, the presence of process uncertainties and measurement noises in WWTPs makes it difficult for the purpose of fault detection. This paper focuses on the data-driven realization of fault detection for sludge bulking and toxic impact in WWTPs. The fault detection model employs NARXbased neural networks to construct the residual generator through the maximum likelihood approach. The maximum likelihood-based NARX neural network can optimize both the model parameters and covariance matrix related to stochastic noises, based on which the model delivers more robustness performance against uncertainties than the existing work. Therefore, the nonlinearity and unknown system uncertainties of WWTPs can be processed simultaneously. The superiority and effectiveness of the maximum likelihood-based NARX neural network are validated through the benchmark simulation model no.1, where the successful detection rates for detecting sludge bulking faults and toxic impact faults are proved to be significantly higher than the traditional methods. © 2023, The Authors. All rights reserved.

关键词： Stochastic systems

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Fuzzy H∞Sliding Mode control of Persistent Dwell-Time Switched Nonlinear Systems

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IEEE Transactions on Fuzzy Systems 2022年第12期30卷 5143-5151页

作者： Wang, Jing Wang, Haitao Yan, Huaicheng Wang, Yueying Shen, Hao Anhui University of Technology AnHui Province Key Laboratory of Special Heavy Load Robot The School of Electrical and Information Engineering Ma'anshan243032 China East China University of Science and Technology School of Information Science and Engineering Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai200237 China Shanghai University School of Mechatronic Engineering and Automation Shanghai201620 China

In this article, the fuzzy H∞ sliding mode control problem for continuous-time switched nonlinear systems is investigated. The switching signal conforms to the persistent dwell-time switching mechanism. The first objective of this article is to construct a switched integral sliding surface that not only accommodates the switched nonlinear model, but ensures that the sliding mode dynamics are globally uniformly exponentially stable and have an H∞ performance by the equivalent controller derived from the sliding surface. Another aim is to integrate the switched sliding mode control law to force the system trajectories to the sliding surface in a finite amount of time. Then, on the basis of the Lyapunov function technique, the specific form of the sliding mode control law gains is given first, and later the finite-time reachability of the sliding surface is ensured. Finally, the validity of the proposed switched sliding mode control method is validated by a numerical example. © 1993-2012 IEEE.

关键词： Nonlinear systems

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Active Disturbance Rejection control for Nonlinear Two-tank Liquid Level Cascade Systems with Model Uncertainties

Active Disturbance Rejection Control for Nonlinear Two-tank ...

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The Society of Instrument and control Engineers Annual Conference 2015

作者： Lijun Wang Fen Zhang Qing Li Yixin Yin Qing Zheng Yumeng Zhang School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Department of Electrical and Computer Engineering Gannon University

Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system,active disturbance rejection controller(ADRC) solution was developed. First, a nonlinear mechanism model and its linearized model were built based on the theories of fluid dynamics for the system. Second, first-order linear ADRCs for the outer loop of the two cascade systems with an unknown order were designed, respectively. With a simple integrator as the normalized type of the feedback system, other parts of dynamic system which are different from the normalized type are treated as the total disturbances. The disturbances were estimated by the second-order linear extended state observer and compensated in the control law. Then the system, with nonlinearities, uncertainties and disturbances, is reduced to only a linear integrator. In comparison with the traditional PI controller, simulation results show that both the proposed ADRCs have better robustness and adaptability against model uncertainties.

关键词： Two-tank systems,nonlinear systems,uncertain systems,cascade systems,active disturbance rejection control

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Bipartite Consensus Problem of Harmonic Oscillators Based on Sampled-data

Bipartite Consensus Problem of Harmonic Oscillators Based on...

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Chinese control and Decision Conference, CCDC

作者： Hang Tian Cheng-Lin Liu Guang-Ye Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi China Shanghai Keliang Information Tech. & Eng. Co. Ltd Shanghai China

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

This paper is concerned with the bipartite consensus problem of sampled-data coupled harmonic oscillators by predictor factor under the fixed topology. Compared with the existing distributed protocol for synchronization in networks of coupled harmonic oscillators based on the sampled-data measurement, we propose a distributed bipartite consensus control protocol in which positive and negative interaction weights coexist. For structurally balanced networks, we improve the convergence rate of the network via predictor factor. Necessary and sufficient conditions are obtained for the well designed protocol to achieve bipartite consensus by using frequency-domain analysis and matrix theory. Finally, examples are shown to validate the convergence conditions.

关键词： Oscillators Protocols Harmonic analysis Synchronization Multi-agent systems Topology Convergence

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Improved chicken swarm optimization

Improved chicken swarm optimization

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Dinghui Wu Fei Kong Wenzhong Gao Yanxia Shen Zhicheng Ji Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology Jiangnan University Wuxi Jiangsu China Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi Jiangsu China Dept. of Electrical and Computer Engineering University of Denver Denver CO USA

ISBN: (纸本)9781479987313

Considering the problem that the original chicken swarm optimization algorithm is easy to fall into local optimum because of premature convergence for high-dimensional complex problems, an improved chicken swarm optimization was proposed. In this algorithm, the part of chicks learning from the rooster in their subgroup is added to chick's position update equation, and the inertia weight and learning factor are also introduced. Then eight benchmark functions are used to test the proposed algorithm and the comparison with particle swarm optimization, bat algorithm, and original chicken swarm optimization are also performed. The simulated experimental results showed that the proposed algorithm is able to avoid premature convergence and therefore can escape from local optimum. Especially, the proposed method outperforms other evolutionary algorithms in finding the global optimum for high-dimensional problems.

关键词： Convergence Algorithm design and analysis Particle swarm optimization Benchmark testing optimization Accuracy Standards

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